Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 1191 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0628. Min Act: -0.0003

Data Index: 297035 (C4 (Web Text))

Max Activating Token Index: 144

Text #1

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Max Act: 0.0553. Min Act: -0.0002

Data Index: 890348 (C4 (Web Text))

Max Activating Token Index: 750

Text #2

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Max Act: 0.0590. Min Act: -0.0003

Data Index: 1328943 (C4 (Web Text))

Max Activating Token Index: 18

Text #3

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Max Act: 0.0567. Min Act: -0.0002

Data Index: 767641 (C4 (Web Text))

Max Activating Token Index: 217

Text #4

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Max Act: 0.0551. Min Act: -0.0003

Data Index: 900672 (C4 (Web Text))

Max Activating Token Index: 11

Text #5

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Max Act: 0.0523. Min Act: -0.0003

Data Index: 621409 (C4 (Web Text))

Max Activating Token Index: 39

Text #6

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Max Act: 0.0537. Min Act: -0.0002

Data Index: 1039765 (C4 (Web Text))

Max Activating Token Index: 362

Text #7

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Max Act: 0.0490. Min Act: -0.0003

Data Index: 873471 (C4 (Web Text))

Max Activating Token Index: 250

Text #8

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Data Index: 806716 (C4 (Web Text))

Max Activating Token Index: 648

Text #9

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Max Act: 0.0530. Min Act: -0.0003

Data Index: 204396 (C4 (Web Text))

Max Activating Token Index: 118

Text #10

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Max Act: 0.0404. Min Act: -0.0002

Data Index: 859716 (C4 (Web Text))

Max Activating Token Index: 246

Text #11

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Max Activating Token Index: 39

Text #12

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Max Activating Token Index: 421

Text #13

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Data Index: 391232 (C4 (Web Text))

Max Activating Token Index: 112

Text #14

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Data Index: 38882 (C4 (Web Text))

Max Activating Token Index: 588

Text #15

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Max Activating Token Index: 666

Text #16

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Max Activating Token Index: 390

Text #17

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Data Index: 1516363 (Python Code)

Max Activating Token Index: 124

Text #18

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Max Act: 0.0470. Min Act: -0.0003

Data Index: 922405 (C4 (Web Text))

Max Activating Token Index: 542

Text #19

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Max Act: 0.0443. Min Act: -0.0002

Data Index: 183260 (C4 (Web Text))

Max Activating Token Index: 869